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EPIA
2007
Springer
16 years 1 months ago
Improving Evolutionary Algorithms with Scouting
The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an ...
Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey ...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
16 years 1 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
CIARP
2005
Springer
16 years 15 days ago
Reward-Punishment Editing for Mixed Data
The KNN rule has been widely used in many pattern recognition problems, but it is sensible to noisy data within the training set, therefore, several sample edition methods have bee...
Raúl Rodríguez-Colín, Jes&uac...
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
16 years 10 days ago
Parameter-Less Hierarchical BOA
Abstract. The parameter-less hierarchical Bayesian optimization algorithm (hBOA) enables the use of hBOA without the need for tuning parameters for solving each problem instance. T...
Martin Pelikan, Tz-Kai Lin
ICPR
2002
IEEE
15 years 12 months ago
Image Flows and One-Liner Graphical Image Representation
In this paper we introduce a novel graphical image representation comprising a single curve—the one-liner. The first step involves the detection and linking of image edges. We ...
Vadim Makhervaks, Gill Barequet, Alfred M. Bruckst...